ChatGPT: A Practical Guide for Healthcare Professionals to Navigate the Volatile World of Large Language Models

Abstract

ChatGPT, a generative AI (gAI) tool, has significantly transformed the field of Machine Learning (ML) and Artificial Intelligence (AI). Previously these fields were mainly accessible to a few individuals with programming skills, but now to a wider audience across different disciplines. Moreover, ML and AI were primarily focused on task specific predictions; the rise of gAI, led by tools like ChatGPT, has introduced a new era marked by interactive and dynamic capabilities previously unseen.Limited financial, human, and technological resources pose significant constraints in developing personalised and cost-efficient solutions in healthcare. The challenge is more acute for developing countries—paradoxically, the need for resources is greater. Generative AI tools like ChatGPT can profoundly impact areas such as patient interactions and support for medical professionals in decision-making.This paper is motivated by the need to bridge the gap between the widespread excitement and comprehensive understanding of ChatGPT and its functions. To address this, the paper focuses on three key objectives: first, we will present a comprehensive list and explanation of gAI terminology; second, systematically introduce the ChatGPT interface and its capabilities; and finally, discuss the rules of engagement with the tool to guide the model in delivering specific outputs.

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